Multimedia Gallery - Data-driven optimization to improve mobile healthcare in disadvantaged communities

March 26, 2018

Data-driven optimization to improve mobile healthcare in disadvantaged communities

The overall goal of this National Science Foundation (NSF)-supported project is to optimize and implement a data-based program to improve the efficiency and effectiveness of mobile health clinics. Led by health economist Rigoberto Delgado, of the University of Texas Health Science Center at Houston, a team of researchers wants to help Texas Children's Hospital and other providers target their limited resources where they can do the most good. The team is mining public domain data in new ways, using geospatial mapping science and predictive analytics to forecast areas of highest risk for outbreaks. The researchers want to figure out not only where to send the mobile health clinics, but ultimately, how to prevent illness outbreaks in the first place and reduce the number of emergency room visits.

The research in this episode was supported by NSF award #1637347, Increasing Healthcare Access to At-risk Populations: Research-based Policies for Mobile Health Clinics.

Credit: National Science Foundation

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